C16orf57, a gene mutated in poikiloderma with neutropenia, encodes a putative phosphodiesterase responsible for the U6 snRNA 3' end modification.

C16orf57 encodes a human protein of unknown function, and mutations in the gene occur in poikiloderma with neutropenia (PN), which is a rare, autosomal recessive disease. Interestingly, mutations in C16orf57 were also observed among patients diagnosed with Rothmund-Thomson syndrome (RTS) and dyskeratosis congenita (DC), which are caused by mutations in genes involved in DNA repair and telomere maintenance. A genetic screen in Saccharomyces cerevisiae revealed that the yeast ortholog of C16orf57, USB1 (YLR132C), is essential for U6 small nuclear RNA (snRNA) biogenesis and cell viability. Usb1 depletion destabilized U6 snRNA, leading to splicing defects and cell growth defects, which was suppressed by the presence of multiple copies of the U6 snRNA gene SNR6. Moreover, Usb1 is essential for the generation of a unique feature of U6 snRNA; namely, the 3'-terminal phosphate. RNAi experiments in human cells followed by biochemical and functional analyses confirmed that, similar to yeast, C16orf57 encodes a protein involved in the 2',3'-cyclic phosphate formation at the 3' end of U6 snRNA. Advanced bioinformatics predicted that C16orf57 encodes a phosphodiesterase whose putative catalytic activity is essential for its function in vivo. Our results predict an unexpected molecular basis for PN, DC, and RTS and provide insight into U6 snRNA 3' end formation.

Correction to: Classification, substrate specificity and structural features of D-2-hydroxyacid dehydrogenases: 2HADH knowledgebase.

Following publication of the original article [1], we have been notified that some important information was omitted by the authors from the Competing interests section. The declaration should read as below.

Structural, Biochemical, and Evolutionary Characterizations of Glyoxylate/Hydroxypyruvate Reductases Show Their Division into Two Distinct Subfamilies.

The d-2-hydroxyacid dehydrogenase (2HADH) family illustrates a complex evolutionary history with multiple lateral gene transfers and gene duplications and losses. As a result, the exact functional annotation of individual members can be extrapolated to a very limited extent. Here, we revise the previous simplified view on the classification of the 2HADH family; specifically, we show that the previously delineated glyoxylate/hydroxypyruvate reductase (GHPR) subfamily consists of two evolutionary separated GHRA and GHRB subfamilies. We compare two representatives of these subfamilies from Sinorhizobium meliloti (SmGhrA and SmGhrB), employing a combination of biochemical, structural, and bioinformatics approaches. Our kinetic results show that both enzymes reduce several 2-ketocarboxylic acids with overlapping, but not equivalent, substrate preferences. SmGhrA and SmGhrB show highest activity with glyoxylate and hydroxypyruvate, respectively; in addition, only SmGhrB reduces 2-keto-d-gluconate, and only SmGhrA reduces pyruvate (with low efficiency). We present nine crystal structures of both enzymes in apo forms and in complexes with cofactors and substrates/substrate analogues. In particular, we determined a crystal structure of SmGhrB with 2-keto-d-gluconate, which is the biggest substrate cocrystallized with a 2HADH member. The structures reveal significant differences between SmGhrA and SmGhrB, both in the overall structure and within the substrate-binding pocket, offering insight into the molecular basis for the observed substrate preferences and subfamily differences. In addition, we provide an overview of all GHRA and GHRB structures complexed with a ligand in the active site.

Classification, substrate specificity and structural features of D-2-hydroxyacid dehydrogenases: 2HADH knowledgebase.

BACKGROUND: The family of D-isomer specific 2-hydroxyacid dehydrogenases (2HADHs) contains a wide range of oxidoreductases with various metabolic roles as well as biotechnological applications. Despite a vast amount of biochemical and structural data for various representatives of the family, the long and complex evolution and broad sequence diversity hinder functional annotations for uncharacterized members. RESULTS: We report an in-depth phylogenetic analysis, followed by mapping of available biochemical and structural data on the reconstructed phylogenetic tree. The analysis suggests that some subfamilies comprising enzymes with similar yet broad substrate specificity profiles diverged early in the evolution of 2HADHs. Based on the phylogenetic tree, we present a revised classification of the family that comprises 22 subfamilies, including 13 new subfamilies not studied biochemically. We summarize characteristics of the nine biochemically studied subfamilies by aggregating all available sequence, biochemical, and structural data, providing comprehensive descriptions of the active site, cofactor-binding residues, and potential roles of specific structural regions in substrate recognition. In addition, we concisely present our analysis as an online 2HADH enzymes knowledgebase. CONCLUSIONS: The knowledgebase enables navigation over the 2HADHs classification, search through collected data, and functional predictions of uncharacterized 2HADHs. Future characterization of the new subfamilies may result in discoveries of enzymes with novel metabolic roles and with properties beneficial for biotechnological applications.

Probabilistic approach to predicting substrate specificity of methyltransferases.

We present a general probabilistic framework for predicting the substrate specificity of enzymes. We designed this approach to be easily applicable to different organisms and enzymes. Therefore, our predictive models do not rely on species-specific properties and use mostly sequence-derived data. Maximum Likelihood optimization is used to fine-tune model parameters and the Akaike Information Criterion is employed to overcome the issue of correlated variables. As a proof-of-principle, we apply our approach to predicting general substrate specificity of yeast methyltransferases (MTases). As input, we use several physico-chemical and biological properties of MTases: structural fold, isoelectric point, expression pattern and cellular localization. Our method accurately predicts whether a yeast MTase methylates a protein, RNA or another molecule. Among our experimentally tested predictions, 89% were confirmed, including the surprising prediction that YOR021C is the first known MTase with a SPOUT fold that methylates a substrate other than RNA (protein). Our approach not only allows for highly accurate prediction of functional specificity of MTases, but also provides insight into general rules governing MTase substrate specificity.

Predicting proteome dynamics using gene expression data.

While protein concentrations are physiologically most relevant, measuring them globally is challenging. mRNA levels are easier to measure genome-wide and hence are typically used to infer the corresponding protein abundances. The steady-state condition (assumption that protein levels remain constant) has typically been used to calculate protein concentrations, as it is mathematically convenient, even though it is often not satisfied. Here, we propose a method to estimate genome-wide protein abundances without this assumption. Instead, we assume that the system returns to its baseline at the end of the experiment, which is true for cyclic phenomena (e.g. cell cycle) and many time-course experiments. Our approach only requires availability of gene expression and protein half-life data. As proof-of-concept, we predicted proteome dynamics associated with the budding yeast cell cycle, the results are available for browsing online at http://dynprot.cent.uw.edu.pl/ . The approach was validated experimentally by verifying that the predicted protein concentration changes were consistent with measurements for all proteins tested. Additionally, if proteomic data are available as well, we can also infer changes in protein half-lives in response to posttranslational regulation, as we did for Clb2, a post-translationally regulated protein. The predicted changes in Clb2 abundance are consistent with earlier observations.

[Termination of prokaryotic and eukaryotic translation]. / Terminacja translacji u Prokaryota i Eukaryota.

In prokaryotic and eukaryotic organisms termination of translation differs in many aspects. In the first step of termination the release factors recognize stop codons in A site of the ribosome. These factors are responsible for hydrolysis of peptide-tRNA bond and release of newly synthesized peptide. There is only one factor in eukaryotic cells, called eRF1, whereas in prokaryotic cells there are two factors called RF1 and RF2. In termination of translation in mitochondria, process similar to prokaryotes termination, there is only one factor known, called mitochondrial release factor 1 (mRF1). The research in all these systems has revealed important domains in release factors, which are involved in complicated process of termination of translation. This work summarizes new mechanistic aspects of termination of translation and shows some attempts of visualization of this process in many structural studies.

Comprehensive structural and substrate specificity classification of the Saccharomyces cerevisiae methyltransferome.

Methylation is one of the most common chemical modifications of biologically active molecules and it occurs in all life forms. Its functional role is very diverse and involves many essential cellular processes, such as signal transduction, transcriptional control, biosynthesis, and metabolism. Here, we provide further insight into the enzymatic methylation in S. cerevisiae by conducting a comprehensive structural and functional survey of all the methyltransferases encoded in its genome. Using distant homology detection and fold recognition, we found that the S. cerevisiae methyltransferome comprises 86 MTases (53 well-known and 33 putative with unknown substrate specificity). Structural classification of their catalytic domains shows that these enzymes may adopt nine different folds, the most common being the Rossmann-like. We also analyzed the domain architecture of these proteins and identified several new domain contexts. Interestingly, we found that the majority of MTase genes are periodically expressed during yeast metabolic cycle. This finding, together with calculated isoelectric point, fold assignment and cellular localization, was used to develop a novel approach for predicting substrate specificity. Using this approach, we predicted the general substrates for 24 of 33 putative MTases and confirmed these predictions experimentally in both cases tested. Finally, we show that, in S. cerevisiae, methylation is carried out by 34 RNA MTases, 32 protein MTases, eight small molecule MTases, three lipid MTases, and nine MTases with still unknown substrate specificity.

Mitochondrial release factor in yeast: interplay of functional domains.

The MRF1 gene encodes the only class I release factor found in Saccharomyces cerevisiae mitochondria, mRF1. The previously isolated point mutation mrf1-13 caused respiratory deficiency due to inhibition of mitochondrial translation. In this study, we have isolated second-site suppressors of mrf1-13. Among over 200 respiratory positive suppressor colonies, ten nuclear dominant suppressors had a new mutation in the MRF1 gene. The suppressors in combination with the original mrf1-13 revealed increased levels of mitochondrially synthesized proteins, Cox2 and Atp6. One of the suppressor alleles was cloned on a plasmid and was found to support weaker respiratory competence than in combination with mrf1-13. Finally, the possible effects of the suppressor mutations are discussed based on a structural model of mRF1 protein built for its "open" and "closed" forms using known crystal structures of prokaryotic release factor RF1 as templates. The 3D models suggest that at least some suppressors switch the structure of mRF1 from the "closed" to a permanently "open" form causing stronger binding of the mRF1 protein to the ribosome and increasing the time of ribosome occupation. This explains how the suppressor mutants may facilitate translation termination despite a defect in decoding of the stop signal.

Expression of mitochondrial release factor in relation to respiratory competence in yeast.

Mitochondria have a single release factor that recognizes all stop codons in mRNAs. The yeast mitochondrial release factor, mRF1, is a protein of 43 kDa that emerges from its precursor by cleavage of a mitochondrial targeting sequence. mRF1 is localized exclusively in mitochondria, even when it is overproduced. A several-fold increase in mRF1 levels slightly inhibits the growth of wild-type cells on media containing a non-fermentable carbon source. A direct antisuppressor effect of overproduced mRF1 is observed, since the MRF1 gene on a multicopy plasmid causes Gly(-) phenotypes of the leaky mit(-) point mutations in mtDNA. We also examine steady-state mRF1 levels in a respiratory-deficient mrf1-780 mutant with inhibited mitochondrial translation. We show that both the mRF1 protein and the MRF1 transcript are elevated in mrf1-780 cells. A similar increase in mRF1 expression is observed in the rho(0) strain with no mitochondrial translation. This is indicative of retrograde signalling in the regulation of MRF1 expression. According to our hypothesis, inhibition of translation in the mrf1-780 strain is due to mitoribosome stalling at the stop codon and the observed elevated level of release factor is a secondary effect of respiratory deficiency.